Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Improving linear classifier for Chinese text categorization
Information Processing and Management: an International Journal
MUC4 '92 Proceedings of the 4th conference on Message understanding
A study on automatic ontology mapping of categorical information
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
ACM SIGMOD Record
Evaluating ontology mapping techniques: An experiment in public safety information sharing
Decision Support Systems
A Hybrid Method for Integrating Multiple Ontologies
Cybernetics and Systems
Category mapping for the automatic integration of category-constrained web search
International Journal of Business Intelligence and Data Mining
Visual Content Structures for Wrapper Induction in Building Metasearch Systems
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Holistic schema matching for web query interfaces
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Hierarchical category directories, in which categories are recursively partitioned into sub-categories, have been provided by many information sources, such as news, online stores and shopping websites. Such information sources categorize instances in their databases, and support category-constrained search in which one usually navigates along the category directory to select a category, and then submits a query to find objects in the selected category whose descriptions match the query. As more and more online sources are available, it is challenging to build a meta-search system which provides a unified directory and a meta-search capability to search and access all sources from different websites in one query submission. One of the fundamental problems in building such a meta-search system is category mapping which maps the selected category in the unified directory to categories provided by the information sources. In this paper, we develop an efficient algorithm for category mapping between hierarchical directories. Our algorithm is based on the following two techniques: consistency refinement and hierarchical substitution, which are developed with extensive use of hierarchical structures. Experiment shows that our approach substantially improves previous approaches, and can be used to implement automatic category mapping for meta-search systems which support category-constrained search.